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Mercury's use of machine learning in risk decisioning is growing fast in scope and in stakes. Models increasingly drive real-time decisions about fraud and financial crime, and the Machine Learning Platform (MLP) team exists to build a paved path from a trained model to a reliable production deployment, speeding up ite

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Machine learning engineers turn models into working software. They prepare data, train and evaluate models, and put them into production where they can be monitored and improved.